Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease

Autor: Adnan Kastrati, Wu Yin, Jeanette Erdmann, Ruth J. F. Loos, Paul L. Auer, Susanne Moebus, Christina Willenborg, Piera Angelica Merlini, Jochen Kruppa, Anubha Mahajan, Julian C. van Capelleveen, Christa Meisinger, Charles Kooperberg, Natalie R. van Zuydam, Domenico Girelli, Erik P A Van Iperen, Rebecca D. Jackson, Tom R. Webb, Dan M. Roden, Ursula M. Schick, Colin N. A. Palmer, Eli A. Stahl, Mark I. McCarthy, Andres Metspalu, David-Alexandre Trégouët, Markus Perola, Kathleen Stirrups, G. Kees Hovingh, Martina Mueller-Nurasyid, Maris Alver, Christopher Newton-Cheh, Daniel J. Rader, Karl-Heinz Joeckel, Karen O. Akinsanya, Nilesh J. Samani, Alistair S. Hall, Stefano Duga, Louise A. Donnelly, J. Wouter Jukema, Nour Eddine El-Mokhtari, Rosanna Asselta, Tibor V. Varga, Heribert Schunkert, Erwin P. Bottinger, Paola G. Ferrario, Nathan O. Stitziel, Nicola Marziliano, Marie-Pierre Dubé, Andre Franke, Robert A. Scott, Thomas Meitinger, Stavroula Kanoni, Jan-Håkan Jansson, Christian Hengstenberg, Svati H. Shah, Josh C. Denny, Melanie Waldenberger, Alex S. F. Doney, Nicola Martinelli, Cristen J. Willer, Olle Melander, Hugh Watkins, He Zhang, Inke R. Koenig, Ron Do, Thomas F. Vogt, Chunyu Liu, Omri Gottesman, Kari Kuulasmaa, Peter S. Braund, Praveen Surendran, Dermot F. Reilly, Per Hoffmann, Georg Ehret, Karl L. Laugwitz, Diego Ardissino, Børge G. Nordestgaard, Joanna M. M. Howson, Raimund Erbel, Stefan A. Escher, Wolfgang Lieb, Hong-Hee Won, Majid Nikpay, Martin Farrall, Stefanie Heilmann, Ruth McPherson, Nicholas G. D. Masca, Evelin Mihailov, Danish Saleheen, Andrew D. Morris, Neil R. Robertson, Oddgeir L. Holmen, Sekar Kathiresan, Annette Peters, Jean-Claude Tardif, Alaa AlQarawi, Frank Kee, Jennifer Kriebel, Panos Deloukas, Anuj Goel, Kristian Hveem, Konstantin Strauch, Alexander P. Reiner, Paul W. Franks, John R. Thompson, Robin Young, William E. Kraus, Nicholas J. Wareham, Aldi T. Kraja, Rajiv Chowdhury, Oliviero Olivieri, Folkert W. Asselbergs, Adam S. Butterworth, Daniel I. Chasman, Gina M. Peloso, Peter Weeke, Christian M. Shaffer, Naveed Sattar, Muredach P. Reilly, John Danesh, Marco M Ferrario, Ian Ford, Lingyao Zeng, Marju Orho-Melander, Louis-Philippe Lemieux Perreault, Tõnu Esko, Eirini Marouli, Thorsten Kessler, Yingchang Lu
Přispěvatelé: Ehret, Georg Benedikt, Vascular Medicine, Graduate School, ACS - Amsterdam Cardiovascular Sciences
Jazyk: angličtina
Rok vydání: 2016
Předmět:
0301 basic medicine
Male
Pathology
Heart disease
Genotyping Techniques
Aged
Angiopoietins
Cell Adhesion Molecules
Coronary Artery Disease
Female
Humans
Lipoprotein Lipase
Middle Aged
Mutation
Missense

Risk Factors
Sequence Analysis
DNA

Triglycerides
Mutation
Medicine (all)
Medizin
030204 cardiovascular system & hematology
Coronary disease
Bioinformatics
medicine.disease_cause
Coronary artery disease
0302 clinical medicine
ANGPTL4
Angiopoietin-like 4 Protein
Non-U.S. Gov't
ddc:616
Research Support
Non-U.S. Gov't

Coronary Artery Disease/genetics
General Medicine
3. Good health
Variation (linguistics)
Cardiology
Medical genetics
LPL
Cell Adhesion Molecules/genetics
Sequence Analysis
ANGPTL4
LPL
SVEP1 and coronary artery disease

medicine.medical_specialty
Lipoprotein Lipase/antagonists & inhibitors/genetics/metabolism
Research Support
Article
SVEP1 and coronary artery disease
N.I.H
03 medical and health sciences
Triglycerides/blood/genetics
Research Support
N.I.H.
Extramural

Internal medicine
Angiopoietins/genetics
Journal Article
medicine
Genotyping
business.industry
PCSK9
Extramural
DNA
medicine.disease
030104 developmental biology
Missense
business
Coding (social sciences)
Zdroj: New England Journal of Medicine, Vol. 374, No 12 (2016) pp. 1134-1144
New England journal of medicine, 374(12), 1134-1144. Massachussetts Medical Society
New England Journal of Medicine
New England Journal of Medicine, 374(12), 1134. Massachussetts Medical Society
N. Engl. J. Med. 374, 1134-1144 (2016)
ISSN: 0028-4793
Popis: BACKGROUND: \ud \ud The discovery of low-frequency coding variants affecting the risk of coronary artery disease has facilitated the identification of therapeutic targets.\ud \ud METHODS: \ud \ud Through DNA genotyping, we tested 54,003 coding-sequence variants covering 13,715 human genes in up to 72,868 patients with coronary artery disease and 120,770 controls who did not have coronary artery disease. Through DNA sequencing, we studied the effects of loss-of-function mutations in selected genes.\ud \ud RESULTS: \ud \ud We confirmed previously observed significant associations between coronary artery disease and low-frequency missense variants in the genes LPA and PCSK9. We also found significant associations between coronary artery disease and low-frequency missense variants in the genes SVEP1 (p.D2702G; minor-allele frequency, 3.60%; odds ratio for disease, 1.14; P=4.2×10(-10)) and ANGPTL4 (p.E40K; minor-allele frequency, 2.01%; odds ratio, 0.86; P=4.0×10(-8)), which encodes angiopoietin-like 4. Through sequencing of ANGPTL4, we identified 9 carriers of loss-of-function mutations among 6924 patients with myocardial infarction, as compared with 19 carriers among 6834 controls (odds ratio, 0.47; P=0.04); carriers of ANGPTL4 loss-of-function alleles had triglyceride levels that were 35% lower than the levels among persons who did not carry a loss-of-function allele (P=0.003). ANGPTL4 inhibits lipoprotein lipase; we therefore searched for mutations in LPL and identified a loss-of-function variant that was associated with an increased risk of coronary artery disease (p.D36N; minor-allele frequency, 1.9%; odds ratio, 1.13; P=2.0×10(-4)) and a gain-of-function variant that was associated with protection from coronary artery disease (p.S447*; minor-allele frequency, 9.9%; odds ratio, 0.94; P=2.5×10(-7)).\ud \ud CONCLUSIONS: \ud \ud We found that carriers of loss-of-function mutations in ANGPTL4 had triglyceride levels that were lower than those among noncarriers; these mutations were also associated with protection from coronary artery disease. (Funded by the National Institutes of Health and others.).
Databáze: OpenAIRE